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ResearchIn-Press PreviewHepatologyInflammation Open Access | 10.1172/jci.insight.200727

Alpha diversity analysis of hepatic transcriptome reveals distinct pathways in alcohol-associated hepatitis

Sudrishti Chaudhary,1 Jia-Jun Liu,2 Silvia Liu,2 Marissa Di,3 Juliane I. Beier,1 Ramon Bataller,4 Josepmaria Argemi,5 Panayiotis V. Benos,6 and Gavin E. Arteel1

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Chaudhary, S. in: PubMed | Google Scholar

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Liu, J. in: PubMed | Google Scholar

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Liu, S. in: PubMed | Google Scholar

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Di, M. in: PubMed | Google Scholar

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Beier, J. in: PubMed | Google Scholar

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Bataller, R. in: PubMed | Google Scholar |

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Argemi, J. in: PubMed | Google Scholar

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Benos, P. in: PubMed | Google Scholar |

1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrit, University of Pittsburgh, Pittsburgh, United States of America

2Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States of America

3Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States of America

4Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain

5Department of Internal Medicine, Liver Unit, Clinical University of Navarra, Navarra, Spain

6Department of Epidemiology, University of Florida, Gainesville, United States of America

Find articles by Arteel, G. in: PubMed | Google Scholar

Published January 8, 2026 - More info

JCI Insight. https://doi.org/10.1172/jci.insight.200727.
Copyright © 2026, Chaudhary et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published January 8, 2026 - Version history
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Abstract

Next generation sequencing can identify previously uncharacterized gene expression patterns in disease. Beyond differentially expressed genes analysis, we investigated the ability of within-population diversity (α-diversity) of the transcriptome to reveal additional biological information in alcohol-associated liver disease (ALD), comparing Differential Shannon diversity (DSD) to transcriptome heterogeneity changes. RNA sequencing data from normal livers and patients with early ALD and severe AH were analyzed. α-diversity indices and Percent Shannon Diversity of a gene, which refers to this gene's contribution to total Shannon entropy, were calculated. Ingenuity pathway analysis identified canonical pathways determined by differentially expressed genes (DEG) and DSD approaches. ALD significantly decreased hepatic transcriptome α-diversity correlating with increased relative contribution of select genes. These changes were driven by lower abundance gene expression loss. DEG and DSD analyses showed overlapping genes and canonical pathways, but DSD also identified additional genes and pathways not highlighted by DEG, including fatty acid oxidation, extracellular matrix degradation, and cholesterol metabolism pathways that may represent additional therapeutic targets. Importantly, DSD more effectively identified differences between ASH and AH. Overall, α-diversity analysis revealed that ALD progressively reduces transcriptome heterogeneity, and that DSD provides complementary insights into disease mechanisms missed by standard approaches.

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